@misc{Culpo, author = {Culpo, Massimiliano}, booktitle = {PRACE Report}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_13\_PowderTechnology/1184\_Cuplo\_Current Bottlenecks in the Scalability of OpenFOAM on Massively.pdf:pdf}, pages = {1--13}, title = {{Partnership for Advanced Computing in Europe Current Bottlenecks in the Scalability of OpenFOAM on Massively Parallel Clusters}}, url = {http://www.prace-project.eu/IMG/pdf/Current\_Bottlenecks\_in\_the\_Scalability\_of\_OpenFOAM\_on\_Massively\_Parallel\_Clusters.pdf} } @article{Deen2004, author = {Deen, Niels G. and {von Sint Annaland}, M and Kuipers, J A M}, doi = {10.1016/j.ces.2004.01.038}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_11\_Multiphase Reaction Engineering/96\_Deen\_Multi-scale Modeling of Dispersed Gas-Liquid Two-Phase Flow.pdf:pdf}, issn = {00092509}, journal = {Chemical Engineering Science}, keywords = {bubble columns,euler,front tracking model,gas,lagrange model,liquid ow,multi-scale modeling}, month = may, number = {8-9}, pages = {1853--1861}, title = {{Multi-scale modeling of dispersed gas–liquid two-phase flow}}, url = {http://linkinghub.elsevier.com/retrieve/pii/S0009250904000971}, volume = {59}, year = {2004} } @article{Lekhal2001a, abstract = {The impact of drying conditions and system properties on the final catalyst profile in supported impregnation catalysts is studied. A model is developed, which accounts for convective flow in the liquid phase, multi-component diffusion of the metal in the liquid phase, metal adsorption on the porous support, and heat transport. Transport of the gas and liquid phase are described by the dusty gas model and Darcy's law, respectively. Transport of charged particles (dissolved metal and its ion counterpart) in the liquid solution, i.e., the convective and diffusive ion transport, are modeled by the Nernst-Plank equation. Metal adsorption on the porous support is modeled by a Langmuir adsorption isotherm. It was shown that in the case of strong adsorption, drying does not affect the final metal profile, In such cases. the profile is mainly determined during impregnation. In the case of weak metal adsorption, drying strongly impacts the final catalyst distribution. Accumulation of the metal at the external particle surface (egg-shell profile) becomes significant with increasing drying rate, since convective flow towards the surface is the dominant transport mechanism. Egg-shell catalysts are also obtained, if the permeability of the support is very high, or if the liquid solution has low viscosity. If metal back-diffusion is strong, the metal is transported towards the particle center, leading to uniform or decreasing egg-yolk catalysts. A dimensional analysis of the model equations showed that the final catalyst profile is determined by three dimensionless groups, which describe the relative strength of convection, diffusion, and adsorption. Maps were computed that show regions of different catalyst profiles, Therefore, knowledge of these three dimensionless groups allows the prediction of the final catalyst profile. (C) 2001 Elsevier Science Ltd. All rights reserved}, address = {Rutgers State Univ, Dept Chem \& Biochem Engn, Piscataway, NJ 08854 USA}, annote = {Times Cited: 19 Article English Khinast, J. G Rutgers State Univ, Dept Chem \& Biochem Engn, 98 Brett Rd, Piscataway, NJ 08854 USA Cited References Count: 56 470NJ THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND OXFORD}, author = {Lekhal, Azzeddine and Glasser, Benjamin J. and Khinast, Johannes G.}, journal = {Chemical Engineering Science}, keywords = {ADSORPTION,CONVECTION,ELECTROSTATIC MODELS,EQUATIONS,FLOW,GAS,IMPACT,MASS-TRANSFER,MECHANISM,MODEL,OXIDE-SOLUTION INTERFACE,PARTICLES,PELLETS,PRECURSORS,PROFILE,REACTING SYSTEMS,STEP,STRENGTH,SURFACE,SYSTEM,TRANSPORT,diffusion,drying,drying models,impregnation,optimal catalyst profile,particle,permeability,porous,supported catalysts,viscosity}, month = aug, number = {15}, pages = {4473--4487}, title = {{Impact of drying on the catalyst profile in supported impregnation catalysts}}, url = {ISI:000170877800002}, volume = {56}, year = {2001} } @article{Liu2012, author = {Liu, Xue and Khinast, Johannes G. and Glasser, Benjamin J.}, doi = {10.1016/j.ces.2012.05.046}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_13\_PowderTechnology/1042\_Liu\_Drying ofsupportedcatalystsforlowmeltingpointprecursors.pdf:pdf}, issn = {00092509}, journal = {Chemical Engineering Science}, keywords = {Drying,Low melting point,Metal distribution,Metal loading,Microwave drying,catalyst preparation}, month = sep, pages = {187--199}, publisher = {Elsevier}, title = {{Drying of supported catalysts for low melting point precursors: Impact of metal loading and drying methods on the metal distribution}}, url = {http://linkinghub.elsevier.com/retrieve/pii/S0009250912003272}, volume = {79}, year = {2012} } @article{MohanBhageshvar2014, author = {{Mohan, Bhageshvar} and Kloss, Christoph and Khinast, Johannes G. and Radl, Stefan}, journal = {Powder Technology (accepted)}, title = {{Regimes of Liquid Transport through Sheared Beds of Inertial Smooth Particles}}, year = {2014} } @article{Radl2007, author = {Radl, Stefan and Khinast, Johannes G.}, doi = {10.1002/bit}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_1\_DNS of bubbles in non-Newtonian liquids/195\_Prediction of Mass Transfer Coefficients in Non-Newtonian Fermentation Media Using First-Principles Methods.pdf:pdf}, journal = {Biotechnology and bioengineering}, keywords = {bubbles,liquids,mass transfer,non-newtonian,numerical simulation}, number = {5}, pages = {1329--1334}, title = {{Prediction of Mass Transfer Coefficients in Non-Newtonian Fermentation Media Using First-Principles Methods}}, volume = {97}, year = {2007} } @article{Radl2007a, author = {Radl, Stefan and Khinast, Johannes G.}, doi = {10.1002/aic}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_1\_DNS of bubbles in non-Newtonian liquids/199\_Radl\_Flow and Mass Transfer of Fully Resolved Bubbles in Non-Newtonian Fluids.pdf:pdf}, journal = {AIChE Journal}, keywords = {bubbles,mass transfer,non-newtonian liquids,numerical simulation}, number = {7}, pages = {1861--1878}, title = {{Flow and Mass Transfer of Fully Resolved Bubbles in Non-Newtonian Fluids}}, volume = {53}, year = {2007} } @article{Radl2008, author = {Radl, Stefan and Koynov, A and Tryggvason, Gretar and Khinast, Johannes G.}, doi = {10.1016/j.ces.2008.03.025}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_11\_Multiphase Reaction Engineering/68\_Radl\_DNS-based prediction of the selectivity of fast multiphase reactions\_ hydrogenation of nitroarenes.pdf:pdf}, issn = {00092509}, journal = {Chemical Engineering Science}, keywords = {BUBBLE-COLUMNS,COMPLEX CHEMICAL REACTIONS,FLOW,HYDRODYNAMICS,HYDROXYLAMINE ACCUMULATION,MASS-TRANSFER,MODEL,SIMULATION,SURFACE,TRACKING,bubble,catalysis,direct numerical simulation,hydrogenation,multiphase flow,selectivity}, month = jun, number = {12}, pages = {3279--3291}, publisher = {PERGAMON-ELSEVIER SCIENCE LTD}, title = {{DNS-based prediction of the selectivity of fast multiphase reactions: Hydrogenation of nitroarenes}}, url = {http://apps.isiknowledge.com/full\_record.do?product=UA\&search\_mode=GeneralSearch\&qid=1\&SID=3BMMnMl5n@7D9lmEDpm\&page=1\&doc=2\&colname=WOS}, volume = {63}, year = {2008} } @article{Radl2010d, author = {Radl, Stefan and Khinast, Johannes G.}, doi = {10.1002/aic}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_11\_Multiphase Reaction Engineering/215\_Radl\_Multiphase Flow and Mixing in Dilute Bubble Swarms.pdf:pdf}, journal = {AIChE Journal}, keywords = {bioreactors,bubble columns,large eddy,mass transfer,multiphase flow}, number = {9}, pages = {2421--2445}, title = {{Multiphase Flow and Mixing in Dilute Bubble Swarms}}, volume = {56}, year = {2010} } @article{Radl2010e, author = {Radl, Stefan and Khinast, Johannes G.}, doi = {10.1002/aic}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_13\_PowderTechnology/633\_Radl\_Multiphase flow and mixing in dilute bubble swarms.pdf:pdf}, keywords = {bioreactors,bubble columns,large eddy,mass transfer,multiphase flow}, number = {9}, pages = {2421--2445}, title = {{Multiphase Flow and Mixing in Dilute Bubble Swarms}}, volume = {56}, year = {2010} } @article{Radl2010f, author = {Radl, Stefan and Suzzi, Daniele and Khinast, Johannes G.}, doi = {10.1021/ie100539g}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_11\_Multiphase Reaction Engineering/216\_Radl\_FastReactionsBubblyFlows\_FilmModelAndMicromixing.pdf:pdf}, issn = {0888-5885}, journal = {Industrial \& Engineering Chemistry Research}, month = nov, number = {21}, pages = {10715--10729}, title = {{Fast Reactions in Bubbly Flows: Film Model and Micromixing Effects}}, url = {http://pubs.acs.org/doi/abs/10.1021/ie100539g}, volume = {49}, year = {2010} } @article{Radl2010g, author = {Radl, Stefan and Suzzi, Daniele and Khinast, Johannes G.}, doi = {10.1021/ie100539g}, journal = {Industrial \& Engineering Chemistry Research}, month = nov, number = {21}, pages = {10715--10729}, title = {{Fast Reactions in Bubbly Flows: Film Model and Micromixing Effects}}, volume = {49}, year = {2010} } @article{Gruber2013, author = {Gruber, Michael C. and Radl, Stefan and Khinast, Johannes G.}, doi = {10.1002/cite.201300024}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_13\_PowderTechnology/1132\_Gruber\_BubbleCoalescenceModel.pdf:pdf}, issn = {0009286X}, journal = {Chemie Ingenieur Technik}, keywords = {2013,accepted,april 18,april 26,binary break-up,binary coalescence,ble model,bubble column,bubbly flow,computational fluid dynamics,discrete bub-,euler-lagrange,february 07,received,revised}, month = jul, number = {7}, pages = {1118--1130}, title = {{Coalescence and Break-Up in Bubble Columns: Euler-Lagrange Simulations Using a Stochastic Approach}}, url = {http://doi.wiley.com/10.1002/cite.201300024}, volume = {85}, year = {2013} } @inproceedings{Radeke2009, address = {Melbourne, Australia}, author = {Radeke, Charles and Radl, Stefan and Khinast, Johannes G.}, keywords = {BUBBLY FLOWS,CFD,FLAME,FLAMES,FLOW,FLOWS,MODEL,MODELS,PERFORMANCE,SIMULATION,SIMULATIONS,SIZE,TURBULENT,bubbly flow,granular,granular flow,granular flows,modelling,multi-scale,multi-scale modelling,multiscale modelling}, publisher = {CSIRO Australia}, series = {Multi-Scale Modelling Symposium}, title = {{Granular Flows - Showing Size Effects by Using High-Performance Simulations on GPUs}}, year = {2009} } @article{Radl2010c, abstract = {We performed numerical simulations of dry and wet granular flow inside a four-bladed mixer using the discrete element method (DEM). It was found that mean and fluctuating velocity fields for wet and dry particles differ significantly from each other. The simulation results show that locally and even globally higher mixing rates for wet particles can be achieved compared to dry particles.}, author = {Radl, Stefan and Kalvoda, Eva and Glasser, Benjamin J. and Khinast, Johannes G.}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_13\_PowderTechnology/194\_Radl\_Mixing Characteristics of wet granular matter in a bladed mixer.pdf:pdf}, journal = {Powder Technology}, keywords = {BLADED MIXER,DEM,DISCRETE ELEMENT,DRY,ELEMENT METHOD,FLOW,MATTER,MIXER,NUMERICAL SIMULATIONS,NUMERICAL-SIMULATION,PARTICLES,RATES,SIMULATION,SIMULATIONS,WET,WET GRANULAR MATTER,discrete element method,granular,granular flow,granular matter,mixing,numerical simulation,particle,velocity}, number = {3}, pages = {171--189}, title = {{Mixing Characteristics of Wet Granular Matter in a Bladed Mixer}}, url = {ISI:000277719700010}, volume = {200}, year = {2010} } @inproceedings{Radl2011, abstract = {We focus on a parcel-based approach, similar to the one used by O'Rourke and Snider, 2010, which tracks the motion of a so-called “parcel” of particles. We derive a scaling law for a linear-spring dashpot interaction model that enables tracking of clouds of particles through DEM-based simulation of (scaled) pseudo-particles. This guarantees convergence to a DEM-based simulation of the unscaled system, i.e., a system where all the individual particles are tracked. We use a BGK- like relaxation term to model collisions between particles in dilute regions of the flow field. This combined approach is implemented in an in-house code that runs on GPUs (Radeke et al., 2010), and is used to study a granular jet impinging on a plane surface, as well as a simple shear flow. We find that a BGK-type relaxation model is necessary when using parcel-based approaches for capturing some prominent flow features.}, address = {Trondheim, Norway}, author = {Radl, Stefan and Radeke, Charles and Khinast, Johannes G. and Sundaresan, Sankaran}, booktitle = {8th International Conference on CFD in Oil \& Gas, Metallurgical and Process Industries}, keywords = {discrete element method,granular,impinging jet,shear flow,simulation}, number = {June}, pages = {124 (1--10)}, publisher = {SINTEF/NTNU Trondheim}, title = {{Parcel-Based Approach for the Simulation of Gas-Particle Flows}}, year = {2011} } @article{Radl2012a, author = {Radl, Stefan and Brandl, Daniel and Heimburg, Hanna and Glasser, Benjamin J. and Khinast, Johannes G.}, doi = {10.1016/j.powtec.2012.04.042}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_13\_PowderTechnology/898\_Radl\_FlowAndMixingGranularMaterial.pdf:pdf}, issn = {00325910}, journal = {Powder Technology}, month = apr, pages = {199--212}, title = {{Flow and mixing of granular material over a single blade}}, url = {http://linkinghub.elsevier.com/retrieve/pii/S0032591012002847}, volume = {226}, year = {2012} } @inproceedings{Radl2012b, address = {Vienna, Austria}, author = {Radl, Stefan and Girardi, Matthew and Sundaresan, Sankaran}, booktitle = {ECCOMAS 2012}, editor = {Eberhardsteiner, J}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_13\_PowderTechnology/1031\_Radl\_WhatCanWeLearnCFDDEM.pdf:pdf}, keywords = {abstract,and the,cfd,computational fluid dynamics,discrete element method,drag on the suspended,effective,extremely challenging due to,filtering,flows are,fluidized beds,key for the prediction,of the flow in,particles and hence are,simulations of dense gas-particle,the formation of clusters,these structures reduce the}, number = {Eccomas}, title = {{Effective Drag Law for Parcel-Based Approaches - What Can We Learn from CFD-DEM?}}, year = {2012} } @article{Raffensberger2005, author = {Raffensberger, Jodi a. and Glasser, Benjamin J. and Khinast, Johannes G.}, doi = {10.1002/aic.10445}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_11\_Multiphase Reaction Engineering/185\_Raffensberger\_Analysis heterogeneously catalyzed reactions close to bubbles.pdf:pdf}, issn = {0001-1541}, journal = {AIChE Journal}, keywords = {bubble,bubble dynamics,catalysis,euler-lagrange simulation,particulate flows,phenomena,selectivity}, month = may, number = {5}, pages = {1482--1496}, title = {{Analysis of heterogeneously catalyzed reactions close to bubbles}}, url = {http://doi.wiley.com/10.1002/aic.10445}, volume = {51}, year = {2005} } @article{Siraj2011a, author = {Siraj, Muhammad Shafiq and Radl, Stefan and Glasser, Benjamin J. and Khinast, Johannes G.}, doi = {10.1016/j.powtec.2011.04.004}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_13\_PowderTechnology/835\_Siraj\_Effect of blade angle and particle size on powder mixing.pdf:pdf}, issn = {00325910}, journal = {Powder Technology}, keywords = {Blade-rake angle,Bladed mixers,DEM,MGMMI,Mixing performance}, month = jul, number = {1}, pages = {100--113}, publisher = {Elsevier B.V.}, title = {{Effect of blade angle and particle size on powder mixing performance in a rectangular box}}, url = {http://linkinghub.elsevier.com/retrieve/pii/S0032591011001719}, volume = {211}, year = {2011} } @article{Radl2014, author = {Radl, Stefan and Sundaresan, Sankaran}, journal = {Chemical Engineering Science (submitted)}, title = {{A Drag Model for Filtered Euler-Lagrange Simulations of Clustered Gas-Particle Suspensions}}, year = {2014} } @article{Siraj2011b, author = {Siraj, Muhammad Shafiq and Radl, Stefan and Glasser, Benjamin J. and Khinast, Johannes G.}, doi = {10.1016/j.powtec.2011.04.004}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_13\_PowderTechnology/835\_Siraj\_Effect of blade angle and particle size on powder mixing.pdf:pdf}, issn = {00325910}, journal = {Powder Technology}, keywords = {Blade-rake angle,Bladed mixers,DEM,MGMMI,Mixing performance}, month = jul, number = {1}, pages = {100--113}, publisher = {Elsevier B.V.}, title = {{Effect of blade angle and particle size on powder mixing performance in a rectangular box}}, url = {http://linkinghub.elsevier.com/retrieve/pii/S0032591011001719}, volume = {211}, year = {2011} } @inproceedings{Sundaresan2013, author = {Sundaresan, Sankaran and Radl, Stefan and Milioli, Christian C. and Milioli, Fernando E}, booktitle = {Fluidization XIV}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_13\_PowderTechnology/1178\_Sundaresan\_CoarseGrainedModelsForMomentumEnergyAndSpecies.pdf:pdf}, title = {{Coarse-Grained Models for Momentum, Energy and Species Transport in Gas-Particle Flows}}, volume = {1}, year = {2013} } @article{Sungkorn2011, abstract = {In this paper we present detailed, three-dimensional and time-resolved simulations of turbulent gas–liquid bubbly flows. The continuous phase is modeled using a lattice-Boltzmann (LB) scheme. The scheme solves the large-scale motions of the turbulent flow using the filtered conservation equations, where the Smagorinsky model has been used to account for the effects of the sub-filter scales. A Lagrangian approach has been used for the dispersed, bubbly phase. That is we update the equations of motion of individual bubbles. It is shown that the incorporation of the sub-filter scale fluid fluctuations along the bubble trajectory improves the predictions. Collisions between bubbles are described by the stochastic inter-particle collision model based on kinetic theory developed by Sommerfeld (2001). It has been found that the collision model not only dramatically decreases computing time compared to the direct collision method, but also provides an excellent computational efficiency on parallel platforms. Furthermore, it was found that the presented modeling technique provides very good agreement with experimental data for mean and fluctuating velocity components.}, author = {Sungkorn, Radompon and Derksen, Jos J and Khinast, Johannes G.}, doi = {10.1016/j.ces.2011.03.032}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_13\_PowderTechnology/634\_Sungkorn\_Modeling ofturbulentgas–liquidbubblyflowsusingstochasticLagrangian.pdf:pdf}, issn = {00092509}, journal = {Chemical Engineering Science}, keywords = {Bubbly flow,Computational fluid dynamics (CFD),Euler-Lagrange approach,Large-eddy simulation,Lattice-Boltzmann,Multiphase flow,cfd,computational fluid dynamics}, month = mar, number = {12}, pages = {2745--2757}, publisher = {Elsevier}, title = {{Modeling of turbulent gas-liquid bubbly flows using stochastic Lagrangian model and lattice-Boltzmann scheme}}, url = {http://linkinghub.elsevier.com/retrieve/pii/S0009250911001989}, volume = {66}, year = {2011} } @article{Sungkorn2011a, author = {Sungkorn, Radompon}, doi = {10.1002/aic}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_13\_PowderTechnology/697\_Sungkorn\_Euler–Lagrange Modeling of a Gas–Liquid.pdf:pdf}, journal = {AIChE Journal}, keywords = {boundary condition,breakup and coalescence,bubble,computational fluid dynamics,gas,immersed,lagrangian particle tracking,lattice-botlzmann method,liquid stirred reactor}, number = {0}, pages = {1--15}, title = {{Euler – Lagrange Modeling of a Gas – Liquid Stirred Reactor with Consideration of Bubble Breakage and Coalescence}}, volume = {in press}, year = {2011} } @phdthesis{Sungkorn2011b, author = {Sungkorn, Radompon}, booktitle = {Arbeit}, number = {March}, school = {Graz University of Technology}, title = {{Euler-Lagrange Modeling of Dispersed Gas-Liquid Reactors}}, type = {PhD Thesis}, year = {2011} } @article{VanderHoef2008, author = {{Van der Hoef}, M A and {van Sint Annaland}, M. and Deen, Niels G. and Kuipers, J A M}, doi = {10.1146/annurev.fluid.40.111406.102130}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_13\_PowderTechnology/583\_vanDerHoef\_Numerical Simulation of.pdf:pdf}, issn = {0066-4189}, journal = {Annual Review of Fluid Mechanics}, keywords = {direct numerical simulation,discrete element model,fluidization}, month = jan, pages = {47--70}, title = {{Numerical Simulation of Dense Gas-Solid Fluidized Beds: A Multiscale Modeling Strategy}}, url = {http://arjournals.annualreviews.org/doi/abs/10.1146/annurev.fluid.40.111406.102130}, volume = {40}, year = {2008} } @article{Vigolo2013, author = {Vigolo, Daniele and Griffiths, Ian and Radl, Stefan and Stone, Howard A}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_13\_PowderTechnology/1108\_Vigolo\_particle\_impact\_jfm\_draft\_09\_RevRadl2.pdf:pdf}, journal = {Journal of Fluid Mechanics}, pages = {236--255}, title = {{An experimental and theoretical investigation of particle – wall impacts in a T-junction}}, volume = {727}, year = {2013} } @article{Vigolo2014, abstract = {A common element in physiological flow networks, as well as most domestic and industrial piping systems, is a T junction that splits the flow into two nearly symmetric streams. It is reasonable to assume that any particles suspended in a fluid that enters the bifurcation will leave it with the fluid. Here we report experimental evidence and a theoretical description of a trapping mechanism for low-density particles in steady and pulsatile flows through T-shaped junctions. This mechanism induces accumulation of particles, which can form stable chains, or give rise to significant growth of bubbles due to coalescence. In particular, low-density material dispersed in the continuous phase fluid interacts with a vortical flow that develops at the T junction. As a result suspended particles can enter the vortices and, for a wide range of common flow conditions, the particles do not leave the bifurcation. Via 3D numerical simulations and a model of the two-phase flow we predict the location of particle accumulation, which is in excellent agreement with experimental data. We identify experimentally, as well as confirm by numerical simulations and a simple force balance, that there is a wide parameter space in which this phenomenon occurs. The trapping effect is expected to be important for the design of particle separation and fractionation devices, as well as used for better understanding of system failures in piping networks relevant to industry and physiology.}, author = {Vigolo, Daniele and Radl, Stefan and Stone, Howard a}, doi = {10.1073/pnas.1321585111}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_13\_PowderTechnology/1174\_Vigolo\_UnexpectedTrappingParticlesTJunction.pdf:pdf}, issn = {1091-6490}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, month = mar, pmid = {24639547}, title = {{Unexpected trapping of particles at a T junction.}}, url = {http://www.ncbi.nlm.nih.gov/pubmed/24639547}, year = {2014} } @article{Wurzenberger2002, author = {Wurzenberger, Johann C and Wallner, Susanne and Raupenstrauch, Harald and Khinast, Johannes G.}, file = {:D$\backslash$:/Z\_Literature/Papers/A\_13\_PowderTechnology/1060\_Wurzenberger\_Thermal Conversion of Biomass.pdf:pdf}, number = {10}, title = {{Thermal Conversion of Biomass : Comprehensive Reactor and Particle Modeling}}, volume = {48}, year = {2002} }